Abstract

Using the URL or DOI link below will
ensure access to this page indefinitely

Based on your IP address, your paper is being delivered by:

New York, USA

Processing request.

Illinois, USA

Processing request.

Brussels, Belgium

Processing request.

Seoul, Korea

Processing request.

California, USA

Processing request.

If you have any problems downloading this paper,please click on another Download Location above, or view our FAQFile name: SSRN-id313426. ; Size: 1687K

You will receive a perfect bound, 8.5 x 11 inch, black and white printed copy of this PDF document with a glossy color cover. Currently shipping to U.S. addresses only. Your order will ship within 3 business days. For more details, view our FAQ.

Quantity:Total Price = $9.99 plus shipping (U.S. Only)

If you have any problems with this purchase, please contact us for assistance by email: Support@SSRN.com or by phone: 877-SSRNHelp (877 777 6435) in the United States, or +1 585 442 8170 outside of the United States. We are open Monday through Friday between the hours of 8:30AM and 6:00PM, United States Eastern.

In this paper we describe how quantile regression can be used to evaluate the impact of treatment on the entire distribution of outcomes, when the treatment is endogenous or selected in relation to potential outcomes. We describe an instrumental variable quantile regression process and the set of inferences derived from it, focusing on tests of distributional equality, non-constant treatment effects, conditional dominance, and exogeneity. The inference, which is subject to the Durbin problem, is handled via a method of score resampling. The approach is illustrated with a classical supply-demand and a schooling example. Results from both models demonstrate substantial treatment heterogeneity and serve to illustrate the rich variety of hypotheses that can be tested using inference on the instrumental quantile regression process.